You're reading from Java Concurrency and Parallelism Master advanced Java techniques for cloud-based applications through concurrency and parallelism

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805129264

Length 496 pages

Edition 1st Edition

Languages

Java

Tools

Boost

Concepts

Application Development

Author (1):

Jay Wang

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Table of Contents (20) Chapters

Preface

1. Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing

2. Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape FREE CHAPTER

3. Chapter 2: Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond

4. Chapter 3: Mastering Parallelism in Java

5. Chapter 4: Java Concurrency Utilities and Testing in the Cloud Era

6. Chapter 5: Mastering Concurrency Patterns in Cloud Computing

7. Part 2: Java's Concurrency in Specialized Domains

8. Chapter 6: Java and Big Data – a Collaborative Odyssey

9. Chapter 7: Concurrency in Java for Machine Learning

10. Chapter 8: Microservices in the Cloud and Java’s Concurrency

11. Chapter 9: Serverless Computing and Java’s Concurrent Capabilities

12. Part 3: Mastering Concurrency in the Cloud – The Final Frontier

13. Chapter 10: Synchronizing Java’s Concurrency with Cloud Auto-Scaling Dynamics

14. Chapter 11: Advanced Java Concurrency Practices in Cloud Computing

15. Chapter 12: The Horizon Ahead

16. Index

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Appendix A: Setting up a Cloud-Native Java Environment

1. Appendix B: Resources and Further Reading

Combining concurrency patterns for enhanced resilience and performance

By strategically blending these patterns, you can achieve new levels of cloud system efficiency and robustness. Harness the power of combined concurrency patterns to build cloud systems that are both exceptionally performant and resilient, unlocking the hidden potential of your cloud architecture.

Integrating the Circuit Breaker and Producer-Consumer patterns

Combining the Circuit Breaker and Producer-Consumer patterns significantly boosts resilience and data flow efficiency in asynchronous cloud applications. The Circuit Breaker safeguards against failures, while the Producer-Consumer pattern optimizes data processing. Here’s how to integrate them effectively:

Decouple with Circuit Breakers: Place a Circuit Breaker between producers and consumers to prevent consumer overload during failures or slowdowns. This allows the system to recover gracefully.
Adaptive load management: Use the Circuit...